Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques

@article{Chen2013FuzzyFB,
  title={Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques},
  author={Shyi-Ming Chen and Gandhi Maruli Tua Manalu and Jeng-Shyang Pan and Hsiang-Chuan Liu},
  journal={IEEE Transactions on Cybernetics},
  year={2013},
  volume={43},
  pages={1102-1117}
}
In this paper, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization (PSO) techniques. First, we fuzzify the historical training data of the main factor and the secondary factor, respectively, to form two-factors second-order fuzzy logical relationships. Then, we group the two-factors second-order fuzzy logical relationships into two-factors second-order fuzzy-trend logical relationship groups… CONTINUE READING

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